Results 161 to 170 of about 988 (213)

Non-KAM classical chaos topology for electrons in superlattice minibands determines the inter-well quantum transition rates. [PDF]

Sci Rep
Wang F, Greenaway MT, Balanov AG, Fromhold TM.   +3 more
europepmc   +1 more source

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam, Sajjad Ali, Pir Muhammad Ismail, ABM Sharif Hossain   +3 more
wiley   +1 more source

Interfacial Hopping Integral as a Predictive Descriptor for Electron Transport: Saturated Alkane Junctions. [PDF]

J Am Chem Soc
Peng HH, Lin CH, Tung PW, Lin CW, Chiang YC, Wang BS, Ning TH, Ni IC, Wu CI, Chen CH.   +9 more
europepmc   +1 more source

Gas–Solid Interface‐Assisted Growth of Organic Semiconductor Single Crystals: Dimensions, Structures, Mechanisms, and Applications

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Gas–solid interface‐assisted growth strategies have unlocked precise control over crystal structure, morphology, dimension, and molecular packing. The obtained organic semiconductor single crystals represent the ideal candidates for high‐performance organic optoelectronic devices.
Tingyi Yan, Qing Tian, Jinwen Wang, Ke Jiang, Yage Han, Yuanzhuang Ren, Lingyun Li, Xiujuan Zhang, Jiansheng Jie   +8 more
wiley   +1 more source

On some integral inequalities of Grüss type involving the generalized fractional Saigo k-integral operator. [PDF]

Heliyon
Abbas A, Mubeen S, Khan A, Abdeljawad T.
europepmc   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Perspective on Many-Body Methods for Molecular Polaritonic Systems. [PDF]

J Chem Theory Comput
Bauman N, Cunha LA, DePrince AE, Flick J, Foley JJ, Govind N, Groenhof G, Hoffmann N, Kowalski K, Li X, Liebenthal M, Maitra NT, Manderna R, Matoušek M, Mazin IM, Mejia-Rodriguez D, Panyala A, Peng B, Peyton B, Veis L, Vu N, Weidman JD, Wilson AK, Zarotiadis RA, Zhang Y.   +24 more
europepmc   +1 more source

Efficient and Accurate Modeling of Anisotropic Electrostatic Landscapes in Amorphous Organic Semiconductor Films. [PDF]

J Chem Theory Comput
Kim Y, Son J, Moon G, Choi H, Gil J, Lee JH, Jung Y.   +6 more
europepmc   +1 more source

On optimisation of Paganin's method for propagation-based X-ray phase-contrast imaging and tomography. [PDF]

J Microsc
Gureyev TE, Paganin DM, Pakzad A, Quiney HM.   +3 more
europepmc   +1 more source

A Set of Master Variables for the Two-Star Random Graph. [PDF]

Entropy (Basel)
Akara-Pipattana P, Evnin O.
europepmc   +1 more source