Results 271 to 280 of about 1,178,363 (355)
Comments on Global Symmetries and Anomalies of 5d SCFTs. [PDF]
Benetti Genolini P, Tizzano L.
europepmc +1 more source
Weakly supervised anomaly detection for resonant new physics in the dijet final state using proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector [PDF]
ATLAS Collaboration
openalex +1 more source
The rare‐earth intermetallics YAuGe is identified as a Kramers nodal‐line semimetal, a topological state inherent to non‐centrosymmetric achiral lattices. Magnetic rare‐earth substitution induces an anomalous Hall effect, highlighting the impact of time‐reversal symmetry breaking on topological electronic states and offering insights into designing the
Takashi Kurumaji+13 more
wiley +1 more source
Unravelling the influence of mixed layer depth on chlorophyll-a dynamics in the Red Sea. [PDF]
Pateraki M+4 more
europepmc +1 more source
Direction‐Dependent Conduction Polarity in Altermagnetic CrSb
A recently identified altermagnetic candidate, CrSb, has been found to exhibit direction‐dependent conduction polarity (DDCP). Conduction is dominated by electrons in the ab$\textit{ab}$‐plane and by holes along the c$c$‐axis of the hexagonal unit cell of CrSb.
Banik Rai+7 more
wiley +1 more source
Comparative Assessment of the Critical Condition of Newborns with Congenital Anomalies on the Basis of Different Scales. [PDF]
Azizova NA+3 more
europepmc +1 more source
By integrating Cu/Cu2O and CoNi LDH, tandem kinetic descriptors, including a volcano curve, are employed to predict rate constants, facilitating ideal kinetic matching for efficient ammonia synthesis. The highest ammonia yield (1.12 mmol cm−2 h−1) and Faraday efficiency (99.78%) are achieved by rate matching between Cu/Cu2O and MoO4‐CoNi LDH.
Changzheng Lin+11 more
wiley +1 more source
A Weighted-Transfer Domain-Adaptation Network Applied to Unmanned Aerial Vehicle Fault Diagnosis. [PDF]
Yang J, Chu H, Guo L, Ge X.
europepmc +1 more source
Extended Anomaly Mediation and New Physics at 10 TeV
Ann E. Nelson, Neal Weiner
openalex +2 more sources
This work explores a machine learning (ML) model with electrochemical impedance spectroscopy (EIS) data to address two critical challenges in Lithium metal batteries (LMBs): capacity degradation trajectory and knee point (KP) estimation, for the first time.
Qianli Si+4 more
wiley +1 more source