Unifying the description of hydrocarbons and hydrogenated carbon materials with a chemically reactive machine learning interatomic potential

Autor: Ibragimova, Rina, Kuklin, Mikhail S., Zarrouk, Tigany, Caro, Miguel A.

We present a general-purpose machine learning (ML) interatomic potential for carbon and hydrogen which is capable of simulating various materials and molecules composed of these elements. This ML interatomic potential is trained using the Gaussian ap

Externí odkaz: http://arxiv.org/abs/2409.08194

The BM@N spectrometer at the NICA accelerator complex

Autor: Afanasiev, S., Agakishiev, G., Aleksandrov, E., Aleksandrov, I., Alekseev, P., Alishina, K., Astakhov, V., Atkin, E., Aushev, T., Azorskiy, V., Babkin, V., Balashov, N., Barak, R., Baranov, A., Baranov, D., Baranova, N., Barbashina, N., Baznat, M., Bazylev, S., Belov, M., Blau, D., Bocharnikov, V., Bogdanova, G., Bolozdynya, A., Bondar, E., Boos, E., Buryakov, M., Buzin, S., Chebotov, A., Chemezov, D., Chen, J. H., Demanov, A., Dementev, D., Dmitriev, A., Drnoyan, J., Dryablov, D., Dryuk, A., Dubinchik, B., Dulov, P., Egorov, A., Egorov, D., Elsha, V., Fediunin, A., Fedosimova, A., Filippov, I., Filozova, I., Finogeev, D., Gabdrakhmanov, I., Galavanov, A., Gavrischuk, O., Gertsenberger, K., Golosov, O., Golovatyuk, V., Grigoriev, P., Golubeva, M., Guber, F., Ibraimova, S., Idrisov, D., Idrissova, T., Iusupova, A., Ivashkin, A., Izvestnyy, A., Kabadzhov, V., Kanokova, Sh., Kapishin, M., Kapitonov, I., Karjavin, V., Karmanov, D., Karpushkin, N., Kattabekov, R., Kekelidze, V., Khabarov, S., Kharlamov, P., Khudaiberdyev, G., Khukhaeva, A., Khvorostukhin, A., Kiryushin, Yu., Klimai, P., Kolesnikov, V., Kolozhvari, A., Kopylov, Yu., Korolev, M., Kovachev, L., Kovalev, I., Kruglova, I., Kovalev, Yu., Kozlov, I., Kozlov, V., Kuklin, S., Kulish, E., Kurganov, A., Kutergina, V., Kuznetsov, A., Ladygin, E., Lanskoy, D., Lashmanov, N., Lebedev, I., Lenivenko, V., Lednicky, R., Leontiev, V., Liapin, D., Litvinenko, E., Ma, Y. G., Makankin, A., Makhnev, A., Malakhov, A., Mamaev, M., Martemianov, A., Martovitsky, E., Mashitsin, K., Merkin, M., Merts, S., Morozov, S., Murin, Yu., Musaev, K., Musulmanbekov, G., Myasnikov, A., Myktybekov, D., Nagdasev, R., Nemnyugin, S., Nikitin, D., Novozhilov, S., Olimov, Kh., Olimov, K., Palichik, V., Parfenov, P., Pelevanyuk, I., Peresunko, D., Piyadin, S., Platonova, M., Plotnikov, V., Podgainy, D., Pukhaeva, N., Ratnikov, F., Reshetova, S., Rogov, V., Romanov, I., Rufanov, I., Rukoyatkin, P., Rumyantsev, M., Rybakov, T., Sakulin, D., Sedykh, S., Serebryakov, D., Shabanov, A., Segal, I., Semak, A., Sergeev, S., Serikkanov, A., Sheremetev, A., Sheremeteva, A., Shchipunov, A., Shitenkov, M., Shopova, M., Shumikhin, V., Shutov, A., Shutov, V., Shodmonov, M., Slepnev, I., Slepnev, V., Slepov, I., Smirnov, A., Smolyanin, T., Solomin, A., Sorin, A., Sosnovtsev, V., Spaskov, V., Stavinskiy, A., Stekhanov, V., Stepanenko, Yu., Streletskaya, E., Streltsova, O., Strikhanov, M., Sukhov, E., Suvarieva, D., Taer, G., Taranenko, A., Tarasov, N., Tarasov, O., Teremkov, P., Terletsky, A., Teryaev, O., Tcholakov, V., Tikhomirov, V., Timoshenko, A., Tojiboev, O., Topilin, N., Tretyakova, T., Troshin, V., Truttse, A., Tserruya, I., Tskhay, V., Tyapkin, I., Ustinov, V., Vasendina, V., Velichkov, V., Volkov, V., Voronin, A., Voytishin, N., Yuldashev, B., Yurevich, V., Zamiatin, N., Zavertyaev, M., Zhang, S., Zhavoronkova, I., Zhezher, V., Zhigareva, N., Zinchenko, A., Zubankov, A., Zubarev, E., Zuev, M.

BM@N (Baryonic Matter at Nuclotron) is the first experiment operating and taking data at the Nuclotron/NICA ion-accelerating complex.The aim of the BM@N experiment is to study interactions of relativistic heavy-ion beams with fixed targets. We presen

Externí odkaz: http://arxiv.org/abs/2312.17573

Modeling the process of slag formation in paste propulsion

Autor: V.A. Babuk, D.I. Kuklin, S. Yu Naryzhny

Publikováno v: FirePhysChem, Vol 4, Iss 3, Pp 230-237 (2024)

The results of modeling the accumulation of slag residue in the combustion chamber of a propulsion system on pasty propellant obtained using a multiphase flow evolution model are presented. The influence of composition solutions on the process of sla

Externí odkaz: https://doaj.org/article/79881a8e111c42b4946940bb96efe42f

A bispecific anti-PD-1 and PD-L1 antibody induces PD-1 cleavage and provides enhanced anti-tumor activity

Autor: Diana I. Albu, Benjamin J. Wolf, Yan Qin, Xianzhe Wang, Amy Daniel Ulumben, Mei Su, Vivian Li, Eirene Ding, Jose Angel Gonzalo, Jason Kong, Ruturaj Jadhav, Nelly Kuklin, Alberto Visintin, Bing Gong, Thomas J. Schuetz

Publikováno v: OncoImmunology, Vol 13, Iss 1 (2024)

ABSTRACTCombinatorial strategies, such as targeting different immune checkpoint receptors, hold promise to increase the breadth and duration of the response to cancer therapy. Here we describe the preclinical evaluation of CTX-8371, a protein constru

Externí odkaz: https://doaj.org/article/5e1ca35cffdd474daf5caef1c125a47e

Electrical, elastic properties and defect structures of isotactic polypropylene composites doped with nanographite and graphene nanoparticles

Autor: Elnikova, L. V., Ozerin, A. N., Shevchenko, V. G., Ponomarenko, A. T., Nedorezova, P. M., Palaznik, O. M., Skoi, V. V., Kuklin, A. I.

Conducting polymers have wide technological applications in sensors, actuators, electric and optical devices, solar cells etc. To improve their operational performance, mechanical, thermal, electrical and optical properties, such polymers are doped w

Externí odkaz: http://arxiv.org/abs/2205.15392