Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the spin of electrons in spin-based optoelectronics, or spintronics, but getting them to perform consistently has proven difficult. Now scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a data-driven approach that identifies and models key synthesis parameters to optimize their performance.
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| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Researchers develop a new predictive model for designing 2D perovskites | 5 | 7 | 02-07-2026 |
| 2 | Researchers find ‘trap’ hindering performance of hybrid perovskites | 0 | 7.09 | 23-06-2026 |
| 3 | Mirror-image molecules steer electron spins and lift perovskite solar cell efficiency | 0 | 9.5 | 27-08-2026 |
| 4 | Spintronic hardware unlocks faster, lower-energy optimization, outpacing tested quantum annealers | 5 | 7 | 02-07-2026 |
| 5 | New technique for building ultra-thin material stacks promises quantum breakthrough | 5 | 7 | 14-07-2026 |
| 6 | Spontaneous current loops in a kagome metal point to hidden quantum order | 0 | 7 | 02-07-2026 |
| 7 | Laser pulses capture unexplored polaronic states | 5 | 7 | 25-06-2026 |
| 8 | Clean crystal surface lets single molecules hit ultimate quantum limit | 6 | 7 | 26-06-2026 |
| 9 | Tiny molecular layers help perovskite solar cells survive 1,210 hours of heat and light | 5 | 7 | 17-07-2026 |
| 10 | Orbitronics clears key hurdle with direct orbital currents, boosting signals 100-fold | 5 | 7 | 02-07-2026 |