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Call Stack
#TimeMemoryFunctionLocation
10.0000359744{main}( ).../index.php:0
20.03541292528cmsCore->runController( ).../index.php:46
30.03551391568users->runAction( $action_name = '302', $params = [0 => 'science'] ).../core.php:779
40.03611406216users->executeAction( $action_name = 'profile_tab', $params = [0 => ['id' => '302', 'groups' => [...], 'email' => 'cj@ipme.ru', 'password_hash' => '$2y$10$1leUwX1cHVjmIQJ6.Mr7TuO8Fo5KsUob/DLUlJJdrIFSKulSGc/1i', 'password' => NULL, 'password_salt' => NULL, 'is_admin' => NULL, 'nickname' => 'Zhang Yuyi', 'slug' => '302', 'date_reg' => '2026-05-05 09:32:24', 'date_log' => '2026-08-07 10:44:29', 'date_group' => '2026-05-05 09:32:24', 'ip' => '62.233.57.222', '2fa' => NULL, 'is_deleted' => NULL, 'is_locked' => NULL, 'lock_until' => NULL, 'lock_reason' => NULL, 'pass_token' => NULL, 'date_token' => '2026-05-19 15:06:30', 'friends_count' => '0', 'subscribers_count' => '0', 'time_zone' => 'Europe/Moscow', 'karma' => '0', 'rating' => '0', 'theme' => [...], 'notify_options' => [...], 'privacy_options' => [...], 'status_id' => NULL, 'status_text' => NULL, 'inviter_id' => NULL, 'invites_count' => '0', 'date_invites' => '2026-05-19 15:06:30', 'birth_date' => NULL, 'city' => NULL, 'city_cache' => NULL, 'hobby' => NULL, 'avatar' => NULL, 'phone' => NULL, 'music' => NULL, 'movies' => NULL, 'site' => NULL, 'first_name' => 'Юйи', 'last_name' => 'ЧЖАН', 'father_name' => NULL, 'stepen' => '---\n- 30\n', 'job' => '---\n- 8\n', 'address' => '199178, г.Санкт-Петербург, В.О. Большой проспект д.61, пом. 20', 'cat_id' => '---\n- 13\n', 'zvanie' => NULL, 'akadem' => NULL, 'scopus' => 'https://www.scopus.com/authid/detail.uri?authorId=57226847257|SCOPUS', 'rinc' => NULL, 'researchgate' => NULL, 'sciense_area' => 'My research interests focus on the integration of artificial intelligence with solid mechanics and computational mechanics. In particular, I am interested in data-driven and physics-guided approaches for constitutive modeling, elastoplasticity, viscoplasticity, and material behavior prediction. My work explores how machine learning methods, such as neural networks, surrogate models, and physics-informed learning frameworks, can be combined with classical mechanical principles to improve the accuracy, robust', 'rewards' => NULL, 'profevents' => NULL, 'edu' => NULL, 'snils' => '213-775-221 54', 'emailcustom' => 'cj@ipme.ru', 'nickname_en' => 'Zhang Yuyi', 'wos' => NULL, 'googl_schol' => 'https://scholar.google.com/citations?hl=zh-CN&user=bJSk0zgAAAAJ|Google Scholar', 'math_net' => NULL, 'profevents_en' => NULL, 'edu_en' => NULL, 'sciense_area_en' => 'My research interests focus on the integration of artificial intelligence with solid mechanics and computational mechanics. In particular, I am interested in data-driven and physics-guided approaches for constitutive modeling, elastoplasticity, viscoplasticity, and material behavior prediction. My work explores how machine learning methods, such as neural networks, surrogate models, and physics-informed learning frameworks, can be combined with classical mechanical principles to improve the accuracy, robust', 'rewards_en' => NULL, 'address_en' => NULL, 'inn' => NULL, 'nopublic' => '1', 'oauth_consent' => NULL, 'oauth_id' => NULL, 'inviter_nickname' => NULL, 'inviter_slug' => NULL, 'inviter_is_deleted' => NULL, 'inviter_avatar' => NULL, 'is_online' => '0', 'ctype_name' => 'users', 'inviter' => [...], 'is_can_vote_karma' => FALSE], 1 => 'science'] ).../controller.php:429
50.03611406360users->runExternalAction( $action_name = 'profile_tab', $params = [0 => ['id' => '302', 'groups' => [...], 'email' => 'cj@ipme.ru', 'password_hash' => '$2y$10$1leUwX1cHVjmIQJ6.Mr7TuO8Fo5KsUob/DLUlJJdrIFSKulSGc/1i', 'password' => NULL, 'password_salt' => NULL, 'is_admin' => NULL, 'nickname' => 'Zhang Yuyi', 'slug' => '302', 'date_reg' => '2026-05-05 09:32:24', 'date_log' => '2026-08-07 10:44:29', 'date_group' => '2026-05-05 09:32:24', 'ip' => '62.233.57.222', '2fa' => NULL, 'is_deleted' => NULL, 'is_locked' => NULL, 'lock_until' => NULL, 'lock_reason' => NULL, 'pass_token' => NULL, 'date_token' => '2026-05-19 15:06:30', 'friends_count' => '0', 'subscribers_count' => '0', 'time_zone' => 'Europe/Moscow', 'karma' => '0', 'rating' => '0', 'theme' => [...], 'notify_options' => [...], 'privacy_options' => [...], 'status_id' => NULL, 'status_text' => NULL, 'inviter_id' => NULL, 'invites_count' => '0', 'date_invites' => '2026-05-19 15:06:30', 'birth_date' => NULL, 'city' => NULL, 'city_cache' => NULL, 'hobby' => NULL, 'avatar' => NULL, 'phone' => NULL, 'music' => NULL, 'movies' => NULL, 'site' => NULL, 'first_name' => 'Юйи', 'last_name' => 'ЧЖАН', 'father_name' => NULL, 'stepen' => '---\n- 30\n', 'job' => '---\n- 8\n', 'address' => '199178, г.Санкт-Петербург, В.О. Большой проспект д.61, пом. 20', 'cat_id' => '---\n- 13\n', 'zvanie' => NULL, 'akadem' => NULL, 'scopus' => 'https://www.scopus.com/authid/detail.uri?authorId=57226847257|SCOPUS', 'rinc' => NULL, 'researchgate' => NULL, 'sciense_area' => 'My research interests focus on the integration of artificial intelligence with solid mechanics and computational mechanics. In particular, I am interested in data-driven and physics-guided approaches for constitutive modeling, elastoplasticity, viscoplasticity, and material behavior prediction. My work explores how machine learning methods, such as neural networks, surrogate models, and physics-informed learning frameworks, can be combined with classical mechanical principles to improve the accuracy, robust', 'rewards' => NULL, 'profevents' => NULL, 'edu' => NULL, 'snils' => '213-775-221 54', 'emailcustom' => 'cj@ipme.ru', 'nickname_en' => 'Zhang Yuyi', 'wos' => NULL, 'googl_schol' => 'https://scholar.google.com/citations?hl=zh-CN&user=bJSk0zgAAAAJ|Google Scholar', 'math_net' => NULL, 'profevents_en' => NULL, 'edu_en' => NULL, 'sciense_area_en' => 'My research interests focus on the integration of artificial intelligence with solid mechanics and computational mechanics. In particular, I am interested in data-driven and physics-guided approaches for constitutive modeling, elastoplasticity, viscoplasticity, and material behavior prediction. My work explores how machine learning methods, such as neural networks, surrogate models, and physics-informed learning frameworks, can be combined with classical mechanical principles to improve the accuracy, robust', 'rewards_en' => NULL, 'address_en' => NULL, 'inn' => NULL, 'nopublic' => '1', 'oauth_consent' => NULL, 'oauth_id' => NULL, 'inviter_nickname' => NULL, 'inviter_slug' => NULL, 'inviter_is_deleted' => NULL, 'inviter_avatar' => NULL, 'is_online' => '0', 'ctype_name' => 'users', 'inviter' => [...], 'is_can_vote_karma' => FALSE], 1 => 'science'] ).../controller.php:453
60.03611407336actionUsersProfileTab->run( $profile = ['id' => '302', 'groups' => [0 => 3], 'email' => 'cj@ipme.ru', 'password_hash' => '$2y$10$1leUwX1cHVjmIQJ6.Mr7TuO8Fo5KsUob/DLUlJJdrIFSKulSGc/1i', 'password' => NULL, 'password_salt' => NULL, 'is_admin' => NULL, 'nickname' => 'Zhang Yuyi', 'slug' => '302', 'date_reg' => '2026-05-05 09:32:24', 'date_log' => '2026-08-07 10:44:29', 'date_group' => '2026-05-05 09:32:24', 'ip' => '62.233.57.222', '2fa' => NULL, 'is_deleted' => NULL, 'is_locked' => NULL, 'lock_until' => NULL, 'lock_reason' => NULL, 'pass_token' => NULL, 'date_token' => '2026-05-19 15:06:30', 'friends_count' => '0', 'subscribers_count' => '0', 'time_zone' => 'Europe/Moscow', 'karma' => '0', 'rating' => '0', 'theme' => [], 'notify_options' => ['comments_new' => 'email', 'comments_reply' => 'email', 'groups_invite' => 'both', 'messages_new' => 'email', 'subscriptions' => 'both', 'rating_user_vote' => ''], 'privacy_options' => [], 'status_id' => NULL, 'status_text' => NULL, 'inviter_id' => NULL, 'invites_count' => '0', 'date_invites' => '2026-05-19 15:06:30', 'birth_date' => NULL, 'city' => NULL, 'city_cache' => NULL, 'hobby' => NULL, 'avatar' => NULL, 'phone' => NULL, 'music' => NULL, 'movies' => NULL, 'site' => NULL, 'first_name' => 'Юйи', 'last_name' => 'ЧЖАН', 'father_name' => NULL, 'stepen' => '---\n- 30\n', 'job' => '---\n- 8\n', 'address' => '199178, г.Санкт-Петербург, В.О. Большой проспект д.61, пом. 20', 'cat_id' => '---\n- 13\n', 'zvanie' => NULL, 'akadem' => NULL, 'scopus' => 'https://www.scopus.com/authid/detail.uri?authorId=57226847257|SCOPUS', 'rinc' => NULL, 'researchgate' => NULL, 'sciense_area' => 'My research interests focus on the integration of artificial intelligence with solid mechanics and computational mechanics. In particular, I am interested in data-driven and physics-guided approaches for constitutive modeling, elastoplasticity, viscoplasticity, and material behavior prediction. My work explores how machine learning methods, such as neural networks, surrogate models, and physics-informed learning frameworks, can be combined with classical mechanical principles to improve the accuracy, robust', 'rewards' => NULL, 'profevents' => NULL, 'edu' => NULL, 'snils' => '213-775-221 54', 'emailcustom' => 'cj@ipme.ru', 'nickname_en' => 'Zhang Yuyi', 'wos' => NULL, 'googl_schol' => 'https://scholar.google.com/citations?hl=zh-CN&user=bJSk0zgAAAAJ|Google Scholar', 'math_net' => NULL, 'profevents_en' => NULL, 'edu_en' => NULL, 'sciense_area_en' => 'My research interests focus on the integration of artificial intelligence with solid mechanics and computational mechanics. In particular, I am interested in data-driven and physics-guided approaches for constitutive modeling, elastoplasticity, viscoplasticity, and material behavior prediction. My work explores how machine learning methods, such as neural networks, surrogate models, and physics-informed learning frameworks, can be combined with classical mechanical principles to improve the accuracy, robust', 'rewards_en' => NULL, 'address_en' => NULL, 'inn' => NULL, 'nopublic' => '1', 'oauth_consent' => NULL, 'oauth_id' => NULL, 'inviter_nickname' => NULL, 'inviter_slug' => NULL, 'inviter_is_deleted' => NULL, 'inviter_avatar' => NULL, 'is_online' => '0', 'ctype_name' => 'users', 'inviter' => [], 'is_can_vote_karma' => FALSE], $tab_name = 'science', $dataset = ??? ).../controller.php:582
 Zhang Yuyi · Scientific work — Институт Проблем Машиноведения РАН ( ИПМаш РАН )
ipmash@ipme.ru | +7 (812) 321-47-78
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Институт Проблем Машиноведения РАН ( ИПМаш РАН ) Институт Проблем Машиноведения РАН ( ИПМаш РАН )

Institute for Problems in Mechanical Engineering
of the Russian Academy of Sciences

Institute for Problems in Mechanical Engineering of the Russian Academy of Sciences
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