Since 2013, there was a number of articles based on the HepSim simulations. Here are some of them I'm aware of:

• A. V. Kotwal, S. Chekanov, M. Low, Double Higgs Production in the 4τ channel from resonances in longitudinal vector boson scattering at a 100 TeV collider, arXiv:1504.08042. Phys. Rev. D 91, 114018 (2015)
• B.Auerbach, S.Chekanov, J.Love, J.Proudfoot and A.V.Kotwal. “Sensitivity to new high-mass states decaying to ttbar at a 100 TeV collider”, arXiv:1412.5951. 2014. Phys. Rev. D 91 (2015) 034014
• J.Sagoff (edtor). News article. “Researchers create enormous simulation of proton collisions”. Argonne Science Highlights. December 12, 2014. Argonne Science Highlights article
• R.Calkins et al. Reconstructing top quarks at the upgraded LHC and at future accelerators. (Summary of the Snowmass Top algorithms and detectors. High Energy Frontier Study Group). E-print: arXiv:1307.6908. Snowmass proceedings 2013. SNOW13-00076
• B.Auerbach, S.V.Chekanov, N.Kidonakis. Studies of highly-boosted top quarks near the TeV scale using jet masses at the LHC. E-print: arxiv.org:1301.5810 ANL-HEP-13-05. Snowmass proceedings 2013
• K.Agashe et al., Snowmass 2013 Top quark working group report. Top Working Group. e-Print: arXiv:1311.2028
• J.Adelman, M.Baumgart, A.Garcia-Bellido, A.Loginov. Determining Top Quark Couplings at the LHC: Snowmass White Paper arXiv:1308.5274. SNOW13-00154
• S.V. Chekanov, I. Pogrebnyak, D. Wilbern, Cross-platform validation and analysis environment for particle physics, arXiv:1510.06638. Computer Physics Communications 220C (2017) pp. 91-96.
• S.V.Chekanov, J.Dull. Energy range of hadronic calorimeter towers and cells for high-pT jets at a 100 TeV collider, arXiv:1510.06638
• S.V. Chekanov and M. Demarteau, Conceptual Design Studies for a CEPC Detector. arXiv:1604.01994 (April 7, 2016). A white paper contributed to the IAS Program on High Energy Physics (4-29 Jan, 2016), International Journal of Modern Physics A (IJMPA) Volume No.31, Issue No. 33, 1644021-1
• Complex detector simulations of proton collisions for FCC-hh. FCC News. May 31, 2016. https://fcc.web.cern.ch/Pages/news/Complex-detector-simulations-of-proton-collisions-for-FCC-.aspx
• ATLAS Collaboration. Measurement of the inclusive isolated prompt photon cross section in pp collisions at s√=8 TeV with the ATLAS detector. May 2016. arXiv.org hep-ex arXiv:1605.03495
• T.Golling et al., Physics at a 100 TeV pp collider: beyond the Standard Model phenomena. CERN-TH-2016-111. hep-ph > arXiv:1606.00947
• ATLAS Collaboration, Measurement of exclusive production and search for exclusive Higgs boson production in pp collisions at s√=8 TeV using the ATLAS detector. arXiv:1607.03745
• Public repository with Monte Carlo simulations for high-energy particle collision experiments. ICHEP2016 Proceedings (Chicago, 2016). S.Chekanov. hep-ex > arXiv:1609.04455
• R.Santos et. al. Machine learning techniques in searches for tt¯h in the h→bb¯ decay channel. arXiv:1610.03088. Published as JINST 12 (2017) P04014.
• Shin-Shan Yu, etc. Study Of Boosted W-Jets And Higgs-Jets With the SiFCC Detector. Proceedings for the 38th International Conference on High Energy Physics, 3-10 August 2016, Chicago, USA (6 pages, 8 figures), arXiv:1611.01136
• Sourav Sen et al. Detectors for Superboosted tau-leptons at Future Circular Colliders. PoS (ICHEP2016) 788
• Lee, Sunghee et al, A Data-driven Approach for Computational Simulation: Trend, Requirement and Technology. Journal of Internet Computing and Services, Volume 19 Issue 1 / Pages.123-130 / 2018
• M. Beydler et al., Initial performance studies of a general-purpose detector for multi-TeV physics at a 100 TeV pp collider. Dec 2016. arXiv:1612.07291. Published in JINST 12 (2017) P06009.(PDF)
• Effect of PYTHIA8 tunes on event shapes and top-quark reconstruction in e+e− annihilation at CLIC, S.Chekanov, M.Demarteau, A.Fischer, J.Zhang, CLIC Collaboration, CLICdp-Note-2017-005, Oct 20, 2017. ANL-HEP-2017-138349, http://cds.cern.ch/record/2289960 and https://arxiv.org/abs/1710.07713
• FCC-hh: The Hadron Collider, Future Circular Collider Conceptual Design Report Volume 3, Eur. Phys. J. Special Topics 228, 755–1107 (2019)
• Precision searches in dijets at the HL-LHC and HE-LHC, S. V. Chekanov, J. T. Childers, D. Frizzell, J. Proudfoot, R. Wang, ANL-HEP-139751, JINST 13 (2018) P05022 https://arxiv.org/abs/1710.09484.
• S.V. Chekanov, Imaging particle collision data for event classification using machine learning, May (2018), ANL-HEP-144006, NIMA 931 (2019) 92 (https://doi.org/10.1016/j.nima.2019.04.031). Also as https://arxiv.org/abs/1805.11650
• ATLAS Collaboration, Search for dijet resonances in events with an isolated lepton using s√=13~TeV proton–proton collision data collected by the ATLAS detector. ATLAS-CONF-2018-015, http://cds.cern.ch/record/2621126
• CEPC CDR (a section on silicon tracker using SiD-like concept) 2018
• C.-H Yeh et al. Jet Substructure Variables with the SiFCC Detector at 100 TeV. Contribution to the 39th International Conference on High Energy Physics (ICHEP2018). https://arxiv.org/abs/1811.12805 (arXiv:1811.12805)
• D. Blyth et al. ProIO: An Event-Based I/O Stream Format for Protobuf Messages. Comp. Phys. Comm. 241 (2019) 98 (https://arxiv.org/abs/1812.03967)
• Beyond the Standard Model Physics at the HL-LHC and HE-LHC. Report from Working Group 3 on the Physics of the HL-LHC, and Perspectives at the HE-LHC. CERN Yellow Report. CERN-LPCC-2018-05. https://arxiv.org/abs/1812.07831. Section 6.4.2 “Precision searches in dijets at the HL- and HE-LHC”. p.216-220.
• C.-H. Yeh et al. Studies of granularity of a hadronic calorimeter for tens-of-TeV jets at a 100 TeV pp collider, JINST 14 (2019) P05008, arXiv:1901.11146 (https://arxiv.org/abs/1901.11146).
• Paul Glaysher, Judith M. Katzy, Sitong An. Iterative subtraction method for Feature Ranking. (2019) (https://arxiv.org/abs/1906.05718)
• ATLAS Collaboration. “Search for dijet resonances in events with an isolated charged lepton using s√=13 TeV proton-proton collision data collected by the ATLAS detector”, JHEP 06 (2020) 151 (https://arxiv.org/abs/2002.11325)
• D. Benjamin, S.V. Chekanov, W. Hopkins, Y. Li, J.R. Love. Automated detector simulation and reconstruction parametrization using machine learning. (https://arxiv.org/abs/2002.11325), 2020 J. Inst. 15 P05025
• S.V. Chekanov, A.V. Kotwal, C.-H. Yeh, S.-S. Yu. Physics potential of timing layers in future collider detectors. 2020 JINST 15 P09021, contribution to Snowmass 2021. (https://arxiv.org/abs/2005.05221).
• J. Clavijo, P.Glaysher, J.Katzy, Adversarial domain adaptation to reduce sample bias of a high energy physics, DESY 20-073, arXiv:2005.00568
• M.T. Lucchini et. al., “New perspectives on segmented crystal calorimeters for future colliders”, (https://arxiv.org/abs/2008.00338), JINST 15 (2020) P11005
• S. V. Chekanov, G. Gavalian, N. A. Graf, Jas4pp - a Data-Analysis Framework for Physics and Detector Studies, Comp. Physics. Comm. 262 (2021) 107857, (https://arxiv.org/abs/2011.05329) (2020) ANL-HEP-164101, SLAC-PUB-17569
• S.Chekanov, Machine Learning Using Rapidity-Mass Matrices for Event Classification Problems in HEP. Universe, 2021, 7(1):19. https://www.mdpi.com/2218-1997/7/1/19
• J.Pata, et.al. MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks. e-Print: 2101.08578
• S.V. Chekanov, S. Darmora, W. Islam, C.E.M. Wagner, J. Zhang, Model-independent searches for new physics in multi-body invariant masses, ANL-HEP-166648, Snowmass21 contribution, https://arxiv.org/abs/2103.10217. Universe 2021, 7(9), 333; https://www.mdpi.com/2218-1997/7/9/333
• Frank E. Taylor, Applications of pT-xR Variables in Describing Inclusive Cross Sections at the LHC. https://arxiv.org/pdf/2105.01010.pdf
• S.V.Chekanov, Searches for new physics in collision events using a statistical technique for anomaly detection, Proceedings of 50th International Symposium on Multiparticle Dynamics (ISMD2021), 12-16 July 2021, SciPost Phys. Proc. 10, 015 (2022), https://arxiv.org/abs/2110.06277
• S. Darmora et. al, Signal optimization studies for dijet resonances in events with identified leptons using machine learning, June 2021, ATL-COM-PHYS-2021-391, https://cds.cern.ch/record/2773239/
• S.V. Chekanov, W. Hopkins, Event-based anomaly detection for new physics searches at the LHC using machine learning, https://arxiv.org/abs/2111.12119 (2021), ANL-HEP-17239, Universe 2022, 8(10), 494; https://doi.org/10.3390/universe8100494
• S.Chekanov et al, “Precision timing for collider-experiment-based calorimetry”, Submitted to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021), March 14, 2022, https://arxiv.org/abs/2203.07286, ANL-HEP-173859, MPP-2022-28
• B. Nachman et al, Jets and Jet Substructure at Future Colliders, https://arxiv.org/abs/2203.07462 March 2022, Snowmass21 white paper.
• ATLAS Collaboration, Search for new phenomena in multi-body invariant masses in events with at least one isolated lepton and two jets using s√=13 TeV proton-proton collision data collected by the ATLAS detector, July 1, 2022, ATLAS-CONF-2022-048 ATLAS-CONF-2022-048
• F. Mokhtar et al., Explaining machine-learned particle-flow reconstruction, https://arxiv.org/abs/2111.12840 (2022)
• Search for new phenomena in multi-body invariant masses in events with at least one isolated lepton and two jets using s√=13 TeV proton-proton collision data collected by the ATLAS detector. ATLAS Collaboration. https://arxiv.org/abs/2211.08945 (Nov 2022)
• Search for new physics using unsupervised machine learning for anomaly detection in s√=13 TeV pp collision data recorded by the ATLAS detector at the LHC, ATL-COM-PHYS-2023-031 (March 2023) https://cds.cern.ch/record/2847966
• ATLAS collaboration, Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at s√=13 TeV with the ATLAS detector. ATLAS-COM-CONF-2023-022 (https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/CONFNOTES/ATLAS-CONF-2023-022/), May 2023. CDS: http://cds.cern.ch/record/2859329
• ATLAS collaboration, Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at s√=13 TeV with the ATLAS detector, CERN-EP-2023-112, https://arxiv.org/abs/2307.01612 (July 5, 2023)
• ATLAS collaboration, Search for new phenomena in multi-body invariant masses in events with at least one isolated lepton and two jets using 13 TeV proton–proton collision data collected by the ATLAS detector, J. High Energ. Phys. 2023, 202 (2023). https://doi.org/10.1007/JHEP07(2023)202
• S.V.Chekanov, R.Zhang, Boosting sensitivity to new physics with unsupervised anomaly detection in dijet resonance search, ANL-HEP-183852, https://arxiv.org/abs/2308.02671 (arXiv:2308.02671)
• S.V.Chekanov, S.Eno, S.Magill, C.Palmer, L.Wu, Geant4 simulations of sampling and homogeneous hadronic calorimeters with dual readout for future colliders, ANL-HEP-186226, arXiv:2311.03539
• S.Chekanov, R.Zhang, Enhancing the hunt for new phenomena in dijet final states using anomaly detection filters at the high-luminosity large Hadron Collider, Eur. Phys. J. Plus (2024) 139:237
• Machine learning could help reveal undiscovered particles within data from the Large Hadron Collider, 2024, April ANL press release newswise Phys.Org
• ADFilter - a web tool for anomaly detection using autoencoders based on deep unsupervised neural networks, ATL-COM-PHYS-2024-469, July 6, 2024, https://cds.cern.ch/record/2903181
• * S.V. Chekanov, W. Islam, R. Zhang, N. Luongo, “ADFilter – A Web Tool for New Physics Searches With Autoencoder-Based Anomaly Detection Using Deep Unsupervised Neural Networks”, (September 2024) ANL-HEP-190964, arXiv:2409.03065 (https://arxiv.org/abs/2409.03065)

There are also several ATLAS papers and a number of supporting notes that used Monte Carlo files from the HEPSIM repository.

• S.Chekanov. Challenges for Higgs physics for a 100 TeV collider. Link to PDF. CPAD conference. Arlington, Taxes, USA, October 5, 2015
• A.V. Kotwal. Study of double Higgs production at a VLHC. Link to the talk.
• S.Chekanov. Sensitivity to New High-mass States Decaying to ttbar in Fully Boosted Regime at a 100 TeV Collider Link to a talk in PDF. IAS program on Future of HEP. Jan 2008, 2015. Joint Consortium of Fundamental Physics, Hong Kong, China. link to the talk.
• S.Chekanov. Studies of HCAL calorimeter segmentation for FCC (Link to a talk). FCC-hh calorimeters informal meeting, Dec. 2015
• C.Doglioni. High mass resonances: reach and detector requirements. Higgs & BSM at 100 TeV workshop.11-13 March 2015, CERN Link to the talk
• S.Chekanov, J.Proudfoot, Effect of had. calorimeter transversal granularity on boosted top mass resolution. Link to a talk
• C.Helsens, Performance requirements of the electromagnetic and hadronic calorimeters. Workshop on requirements for future detector technologies in view of FCC-hh. Link to a talk.
• J.Love. A study of high mass Z' → tt decays: lessons learned. Link to the talk. Higgs & BSM at 100 TeV meeting (March, 11-15, 2015)
• C.Solans, Longitudinal containment parametrization for TeV single hadrons and jets at a 100 TeV collider. FCC-hh calorimeters informal meeting, Link to the talk
• S.Chekanov. High-mass states decaying to ttbar in fully boosted regime at a 100 TeV collider. Next steps in the Energy Frontier - Hadron Colliders, Workshop at LPC@FNAL. Link to the meeting
• S.Chekanov. Performance requirements for Hadron Calorimeters. First Annual Meeting of the Future Circular Collider (FCC) study. 23-29 March 2015, Washington D.C. Link to the talk.
• Simulations for the Energy Frontier. JLab detector group meeting (plusANL/HEP and ANL/Physics divisions). Jan 13, 2016. jlab_simulations_hep.pdf
• Sourav Sen, FCC hadron detector meeting. https://indico.cern.ch/event/446600/contribution/7/attachments/1215135/1774112/FCC21Jan16.pdf Link to talk. Jan 21, 2016
• Shin-Shan Eiko Yu. Search For New Physics In Boosted Di-Bosons. IAS Conference, 2016 (Jan). Link to presentation
• S.Chekanov. IAS seminar ias_simulations_hep.pdf. Jan 4-29 (2016). Hong-Kong. China
• S.Chekanov. HEP division seminar. March 2, 2016. Simulations for the energy frontier. https://indico.hep.anl.gov/indico/conferenceDisplay.py?confId=801
• S.Chekanov. HepSim Monte Carlo repository. Future Trends in Nuclear Physics Computing March 16-18, 2016 Thomas Jefferson National Accelerator Facility Newport News, VA. https://www.jlab.org/conferences/trends2016/talks/chekanov.pdf
• ProMC: a self-describing file format. A talk given at the JLab software meeting (March 29, 2016) . a link to PDF file
• Nhan Viet Tran. Boosted Z' studies. FCC-detector meeting (CERN, Apr.6,2016). Link to the talk.
• Multiple presentations at the detector sections during FCC-week 2016 (Rome). Fcc-week Rome 2016 timetable. See also the talk Simulation of a high-granular hadronic calorimeter for multi-TeV physics.
• Future HEP experiments and simulations for the energy frontier. A seminar at the Iowa State University. May 4, 2016. PDF file of the talk.
• Ana Henriques, Performance requirements of the hadronic calorimetry for a 100 TeV proton-proton collider and the potential of an ATLAS-Tile concept readout by si-PMTS, CALOR 2016, 15-20 May 2016 EXCO in Daegu, Republic of Korea. Link to PDF files.
• Nhan Viet Tran et al. Detectors for Superboosted Jet Substructure at Future Circular Colliders. Boost2016 Conference. Zurich. link to PDF file
• J.Zuzelski (U.Michigan). Optimization of tracking performance for multi-TeV tracks. Future collider studies meettings PDF talk
• Shin-Shan Yu et al. ICHEP16 (Chicago/USA, Aug. 2016). Study Of Boosted W-Jets And Higgs-Jets With the SiFCC detector. URL link to the talk
• S.Chekanov. Simulations for future collider experiments. ICHEP16 (Chicago/USA, Aug. 2016). URL link
• J.Zuzelski. Tracking performance studies using high-pT tracks for a 100 TeV collider. CERN FCC hadron detector meeting. Aug.3, 2016 PDF link
• S.Sen, Nhan Viet Tran et al. Two posters for ICHEP216 on HGCAL and tau identifications for 100 TeV.
• Shin-Shan Yu et al. Study Of Single Particle And Jet Response With the SiFCC Detector. FCC hadron detector meeting. CERN. Sep. 29, 2016.PDF talk
• S.Chekanov et al. High-granularity hadronic calorimeter for multi-TeV physics at a 100 TeV pp collider. PDF talk. CPAD Instrumentation Frontier Meeting 2016 : NEW TECHNOLOGIES FOR DISCOVERY II. (Oct 8-10, 2016). Caltech, California (USA).
• S.Chekanov. Seminar given at ICHEP (Beijing, China). October 24, 2016. PDF file of the talk
• M.Selvaggi, 1st FCC Physics Workshop 16/01/2017 — CERN. fccphysics_week_v4.pdf
• J.Repond. Argonne's EIC activity. EIC meeting, March 19, 2017. EIC_ANL_Mar_2017.pptx
• CLISdp software meeting, 2017 (May 9) Link to the PDF talk
• S.Chekanov at al. “High-granularity hadronic calorimeter for tens-of-TeV jets at a 100 TeV pp collider”, FCC week, 29 May - 2 June 2017, Berlin, Germany. Link to PDF file
• S.Chekanov, M.Demarteau, A.Fisher, “Effect of Pythia8 tunes on event shapes and ttbar reconstruction for CLICdb studies”, CLICdb WG meeting, July 13, 2017, CERN, PDF file
• S.Chekanov et al. Simulations of detector response for multi-TeV physics at a 100 TeV pp collider. Boost2017. Buffalo, NY, USA. July 16-July 21, 2017 PDF file
• W.Armstrong et al.,Full simulation and reconstruction of multiple EIC concept-detectors, 2017. Italy. PDF file
• A.Kotwal. Physics and Experiments at a 100 TeV pp Collider, US-ATLAS workshop, July 2017. PDF talk
• D.Blyth. HepSim mini-tutorial (JLab EIC meeting, July 30, 2017). PDF talk
• CEPC-Si design design concept discussion, Sep 2017. IHEP (China) agenda
• S.Chekanov et al. Reconstruction of ttbar at CLIC 380 GeV CM energy. CLICdb analysis meeting.CERN (Sep 14, 2017) agenda
• J.Repond, EINN conference, Cyprus, October 29-November 4, 2017, PDF talk
• Weiming Yao (LBNL). Full silicon detector CEPC detector concept. International Workshop on High Energy Circular Electron Positron Collider, IHEP, Chinal Nov 16-18, 2017. PDF file
• M.Diefenthaler, EIC Software Consortium, Nov 2017, PDF file
• Chih-Hsiang Yeh et al. Study of Jet Substructure Variables with the SiFCC Detector at 100 TeV. Poster at ICHEP2018 (4-11 July 2018, Coex, Seoul) PDF file
• HepSim repository for the DarkMachines project. Kick-off for DarkMachines: Unsupervised (and related) Collider Searches. July 31, (2018) PDF file
• Studies of granularity of a hadronic calorimeter for tens-of-TeV jets at a 100 TeV pp collider. By Chih-Hsiang Yeh. Boost2019. (June 2019). PDF talk
• HepSim – Monte Carlo repository for physics and detector studies for future particle experiments. CEPC workshop, Chicago Sep.16-19 (2019). By S.Chekanov, PDF talk
• S.Chekanov, A.V.Kotwal, J.List, M.Vos, Requirements from substructure and jet reconstruction, Snowmass21, Snowmass Community Planning Meeting, October 5-8 (2020), Session 131, PDF talk
• Chih-Hsiang Yeh et al. Timing layers. 4th FCC Physics and Experiments Workshop, Nov 11, 2020, CERN PDF talk
• S.Chekanov, S.Magill, Towards simulations of HHCAL for future detectors, CalVision workshop, Univ of Maryland, 29-30 July 2021, PDF file
• S.Chekanov, Machine learning and anomaly detection using rapidity-mass matrices PDF file ISMD2021. 50th International Symposium on Multiparticle Production. (July 12-July 16, as a poster)
• Wasikul I. Model-Independent Searches for New Physics in Multi-Body Invariant Masses, APS April Meeting 2021, https://meetings.aps.org/Meeting/APR21/Session/G19.1
• S.Chekanov et al., Jas4pp. A Data-Analysis Framework for Physics and Detector Studies. APS April Meeting 2021, https://meetings.aps.org/Meeting/APR21/Session/T19.1
• S.Chekanov et. al, Calorimeter performance studies using Monte Carlo simulations for future collider detectors. CPAD Instrumentation Frontier Workshop 2021, 18-22 March 2021, Stony Brook, NY (https://indico.fnal.gov/event/46746/contributions/210055/)
• J.Crosby, “Searches for new physics in collision events using a statistical technique for anomaly detection”, APS April Meeting, Apr 8-14, 2022, https://meetings.aps.org/Meeting/APR22/Session/Q09.4
• S.Chekanov, Event-based anomaly detection for new physics searches at the LHC using machine learning, APS April Meeting, Apr 8-14, 2022, https://meetings.aps.org/Meeting/APR22/Session/Q09.1
• S.Chekanov, HepSim Monte Carlo repository and integration of its software with key4hep, FCC Software Meeting, May 30, 2023, https://indico.cern.ch/event/1283173/,
• S.Chekanov et al, Geant4 simulations of sampling and homogeneous hadronic calorimeters with dual readout for future colliders, 2nd Future circular collider workshop (FCC-ee), Boston, MIT, March 24-28, 2024, (https://indico.mit.edu/event/876/)
• S.Chekanov et al, ADFilter: Online tool for processing BSM models using trained deep learning autoencoder. ATLAS Machine Learning Workshop, May 13-16 (2024). https://indico.cern.ch/event/1352459/overview (CERN).
• .Chekanov, Initial studies of tracking using the CLD detector for FCC-ee. The FCCee detector meeting, CERN, Sep 28, 2024 https://indico.cern.ch/event/1448441/