Results 221 to 230 of about 4,239,680 (350)
Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset. [PDF]
Sci DataMede NG, Cologna V, Berger S, Besley J, Brick C, Joubert M, Maibach EW, Mihelj S, Oreskes N, Schäfer MS, van der Linden S, Abdul Aziz NI, Abdulsalam S, Shamsi NA, Aczel B, Adinugroho I, Alabrese E, Aldoh A, Alfano M, Ali IM, Alsobay M, Altenmüller M, Alvarez RM, Amoako R, Amollo T, Ansah P, Apriliawati D, Azevedo F, Bajrami A, Bardhan R, Bati K, Bertsou E, Betsch C, Bhatiya AY, Bhui R, Białobrzeska O, Bilewicz M, Bouguettaya A, Breeden K, Bret A, Buchel O, Cabrera-Álvarez P, Cagnoli F, Valdez AC, Callaghan T, Cases RK, Çoksan S, Czarnek G, De Peuter S, Debnath R, Delouvée S, Di Stefano L, Díaz-Catalán C, Doell KC, Dohle S, Douglas KM, Dries C, Dubrov D, Dzimińska M, Ecker UKH, Elbaek CT, Elsherif M, Enke B, Etienne TW, Facciani M, Fage-Butler A, Faisal MZ, Fan X, Farhart C, Feldhaus C, Ferreira M, Feuerriegel S, Fischer H, Freundt J, Friese M, Fuglsang S, Gallyamova A, Garrido-Vásquez P, Garrido Vásquez ME, Gatua W, Genschow O, Ghasemi O, Gkinopoulos T, Gloor JL, Goddard E, Gollwitzer M, González-Brambila C, Gordon H, Grigoryev D, Grimshaw GM, Guenther L, Haarstad H, Harari D, Hawkins LN, Hensel P, Hernández-Mondragón AC, Herziger A, Huang G, Huff M, Hurley M, Ibadildin N, Ishibashi M, Islam MT, Jeddi Y, Jin T, Jones CA, Jungkunz S, Jurgiel D, Kabdulkair Z, Kao JJ, Kavassalis S, Kerr JR, Kitsa M, Klabíková Rábová T, Klein O, Koh H, Koivula A, Kojan L, Komyaginskaya E, König L, Koppel L, Cavalcante KKN, Kosachenko A, Kotcher J, Kranz LS, Krishnan P, Kristiansen S, Krouwel A, Kuppens T, Kyza EA, Lamm C, Lantian A, Lazić A, Lecuona O, Légal JB, Leviston Z, Levy N, Lindkvist AM, Lits G, Löschel A, López-Ortega A, Lopez-Villavicencio C, Lou NM, Lucas CH, Lunz-Trujillo K, Marques MD, Mayer SJ, McKay R, Mercier H, Metag J, Milfont TL, Miller JM, Mitkidis P, Monge-Rodríguez F, Motta M, Mudra I, Muršič Z, Namutebi J, Newman EJ, Nitschke JP, Ntui NV, Nwogwugwu D, Ostermann T, Otterbring T, Palmer-Hague J, Pantazi M, Pärnamets P, Parra Saiani P, Paruzel-Czachura M, Parzuchowski M, Pavlov YG, Pearson AR, Penner MA, Pennington CR, Petkanopoulou K, Petrović MM, Pfänder J, Pisareva D, Ploszaj A, Poliaková K, Pronizius E, Pypno-Blajda K, Quiñones DMA, Räsänen P, Rauchfleisch A, Rebitschek FG, Refojo Seronero C, Rêgo G, Reynolds JP, Roche J, Rödder S, Röer JP, Ross RM, Ruin I, Santos O, Santos RR, Schmid P, Schulreich S, Scoggins B, Sharaf A, Sheria Nfundiko J, Shuckburgh E, Six J, Solak N, Späth L, Spruyt B, Standaert O, Stanley SK, Storms G, Strahm N, Syropoulos S, Szaszi B, Szumowska E, Tanaka M, Teran-Escobar C, Todorova B, Toko AK, Tokrri R, Toribio-Florez D, Tsakiris M, Tyrala M, Uluğ ÖM, Uzoma IC, van Noord J, Varda C, Verheyen S, Vilares I, Vlasceanu M, von Bubnoff A, Walker I, Warwas I, Weber M, Weninger T, Westfal M, Wintterlin F, Wojcik AD, Xia Z, Xie J, Zegler-Poleska E, Zenklusen A, Zwaan RA. +240 moreeuropepmc +1 more sourceBridging Theory and Experiment: Machine Learning Potential‐Driven Insights into pH‐Dependent CO₂ Reduction on Sn‐Based Catalysts
Advanced Functional Materials, EarlyView.Machine learning potential (MLP) enables large‐scale molecular dynamics (MD) simulations, uncovering dynamic surface reconstruction of SnO₂ and SnS₂ under CO₂ reduction reaction condition. The negative dipole moments upon *OCHO adsorption are the primary factors driving the leftward shift of the volcano plot.Yuhang Wang, Zelin Wu, Yingfang Jiang, Di Zhang, Qiang Wang, Congwei Wang, Huihui Li, Xue Jia, Jun Fan, Hao Li +9 morewiley +1 more sourceeLife's new model and its impact on science communication. [PDF]
Elife, 2022 Urban L, De Niz M, Fernández-Chiappe F, Ebrahimi H, Han LKM, Mehta D, Mencia R, Mittal D, Ochola E, Paz Quezada C, Romani F, Sinapayen L, Tay A, Varma A, Yahia Mohamed Elkheir L. +14 moreeuropepmc +1 more sourceLow‐Symmetry Weyl Semimetals: A Path to Ideal Topological States
Advanced Functional Materials, EarlyView.This study presents a theoretical framework for realizing ideal Weyl semimetals, where Weyl nodes are well‐isolated at the Fermi level. The approach is exemplified in the low‐symmetry material Cu2SnSe3, which exhibits tunable topological phases, current‐induced orbital magnetization, and a strong circular photogalvanic effect, making it a promising ...Darius‐Alexandru Deaconu, Varun Shah, Rodion Vladimirovich Belosludov, Mohammad Saeed Bahramy +3 morewiley +1 more source
