Maximum precision achieved for a fundamental physical parameter
Peer-Reviewed Publication
Updates every hour. Last Updated: 26-Dec-2025 09:11 ET (26-Dec-2025 14:11 GMT/UTC)
LIFE SCIENCES
Daniele Canzio, PhD, University of California, San Francisco (Neuroscience)
Kaiyu Guan, University of Illinois Urbana-Champaign (Agriculture & Animal Sciences)
Philip J. Kranzusch, PhD, Dana-Farber Cancer Institute; Harvard Medical School (Microbiology)
Elizabeth Nance, PhD, University of Washington (Biomedical Engineering & Biotechnology)
Tomasz Nowakowski, PhD, University of California, San Francisco (Neuroscience)
Samuel H. Sternberg, PhD, Columbia University/Howard Hughes Medical Institute (Molecular & Cellular Biology)
CHEMICAL SCIENCES
Song Lin, PhD, Cornell University (Organic Chemistry)
Joseph Cotruvo, Jr., PhD, The Pennsylvania State University (Biochemistry & Structural Biology)
Frank Leibfarth, PhD, The University of North Carolina at Chapel Hill (Polymer Chemistry)
Ryan Lively, PhD, Georgia Institute of Technology (Chemical Engineering)
Leslie M. Schoop, PhD, Princeton University (Inorganic & Solid-State Chemistry)
Yogesh Surendranath, PhD, Massachusetts Institute of Technology (Inorganic & Solid-State Chemistry)
PHYSICAL SCIENCES & ENGINEERING
Charlie Conroy, PhD, Harvard University (Astrophysics & Cosmology)
Nathaniel Craig, PhD, University of California, Santa Barbara (Theoretical Physics)
Matthew McDowell, PhD, Georgia Institute of Technology (Materials Science & Nanotechnology)
Prateek Mittal, PhD, Princeton University (Computer Science)
Elaina J. Sutley, PhD, University of Kansas (Civil Engineering)
Zhongwen Zhan, PhD, California Institute of Technology (Physical Earth Sciences)
A self-powered analytical device that detects toxic amines in water using electrochemiluminescence has been developed by researchers from Japan, enabling pollutant detection without an external power source. The device operates using voltage generated by liquid flow and produces light signals to indicate contamination. This breakthrough makes water quality testing more accessible, enabling real-time, portable monitoring in situations where traditional methods are impractical.
Metal halide perovskites, owing to their remarkable optoelectronic properties and broad application prospects, have emerged as a research hotspot in materials science and photovoltaics. In addressing challenges related to energy loss, photoelectric conversion efficiency, and operational stability in perovskite solar cells (PSCs), various strategies have been proposed, such as improving perovskite crystallization, developing tandem architectures, and advancing interfacial engineering. However, the specific impact of these approaches on internal energy transfer and conversion mechanisms within PSCs remains insufficiently understood. This review systematically examines the relationship between energy and perovskite materials throughout the photon absorption to charge carrier transport process, with particular focus on key strategies for minimizing energy losses and their underlying influence on energy-level alignment-especially in the electron transport layer and hole transport layer. It summarizes optimal absorption conditions and contributing factors during energy transfer, alongside representative case studies of high-performing systems. By elucidating these mechanisms, this work offers valuable theoretical insights for optimizing energy-level alignment, reducing energy dissipation, and guiding experimental design in PSCs research.