BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Prof. Marina Freitag : Diffuse Light to Structured Information
DTSTART:20250516T140000
DTEND:20250516T150000
DTSTAMP:20260525T145840Z
UID:ed4bd352dbad0d5c78c13d32f32a7bb18f08ff8cc7ad3c422efc96c5
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Marina Freitag\,\nSchool of Natural and Environmental Sc
 iences\,\nNewcastle University\, UK\n \nAbstract : Molecular engineering 
 of dye-sensitized solar cells (DSCs) has catalyzed a paradigm shift in ind
 oor photovoltaics (IPV)\, enabling the realization of self-powered\, intel
 ligent Internet of Things (IoT) devices. Through synergistic co-sensitizat
 ion of XY1 and L1 dyes\, power conversion efficiency has surged from 29.0%
  to 38.0% under 1000 lux fluorescent illumination [1\,2]. Precise tailorin
 g of the Cu(II/I)(tmby)2 electrolyte\, with Cu(II) concentration optimized
  to 0.06 M\, has yielded an exceptional open-circuit voltage of 0.995 V an
 d short-circuit current density of 147 µA cm-2 [2].\n\nInterfacial dynami
 cs\, probed via photoinduced absorption spectroscopy\, have revealed effic
 ient dye regeneration even at near-zero driving force\, challenging establ
 ished electron transfer theories [2]. Electrochemical impedance spectrosco
 py has elucidated the critical role of Lewis bases in modulating TiO2 cond
 uction band energetics and recombination kinetics [2\,3]. This molecular-l
 evel understanding has facilitated the evolution from liquid electrolytes 
 to solid-state hole conductors\, culminating in "zombie" cells that retain
  efficiency post-electrolyte solidification [1\,4]. Scalability has been d
 emonstrated with 3.2 cm2 active areas maintaining 37.1%\, 34.8%\, and 33.7
 % efficiencies at 1000\, 500\, and 200 lux\, respectively [2].\n\nThe seam
 less integration of these advanced IPV cells with microelectronics has pro
 pelled IoT capabilities from basic wireless communication to sophisticated
  on-device machine learning. A 7-cell array (22.4 cm2) now powers an ESP32
  microcontroller executing Long Short-Term Memory (LSTM) neural networks\,
  achieving 93.5-100% accuracy in deployment scenario prediction and perfor
 ming up to 0.560 VAX MIPS [2\,5].\n\nThis multidisciplinary synergy - from
  molecular design to materials engineering\, device optimization\, and edg
 e computing implementation - exemplifies the transformative potential of c
 hemistry-driven innovation in sustainable technology. The convergence of d
 iffuse light harvesting\, and artificial intelligence paves the way for au
 tonomous\, energy-efficient IoT ecosystems with far-reaching implications 
 for smart infrastructure and sustainable digital transformation.\n\n[1] Mi
 chaels et al.\, Chem. Sci.\, 2020\, 11\, 2895-2906.\n[2] Michaels et al.\,
  Chem. Sci.\, 2023\, 14\, 5350-5360.\n[3] Zhang et al.\, Nat. Commun.\, 20
 21\, 12\, 1777.\n[4] Cao et al.\, Nat. Commun.\, 2017\, 8\, 15390.\n[5] Fr
 eitag et al.\, Nat. Photonics\, 2017\, 11\, 372-378.\n\nBio : Professor Ma
 rina Freitag is a Royal Society University Research Fellow and Chair of En
 ergy at Newcastle University. Her pioneering work on dye-sensitized solar 
 cells and indoor photovoltaics has established her as a leader in sustaina
 ble energy research. With a Ph.D. from Rutgers University and experience a
 t EPFL and Uppsala University\, Prof. Freitag has consistently advanced th
 e field of solar energy conversion.\nHer research focuses on developing hi
 ghly efficient\, sustainable photovoltaic technology for powering AI-based
  Internet of Things devices. Prof. Freitag's innovations have led to recor
 d-breaking efficiencies in ambient light conditions\, pushing the boundari
 es of what's possible in low-light energy harvesting.\nWith prestigious ac
 colades like the 2022 Royal Society of Chemistry Harrison-Meldola Memorial
  Prize\, and Göran Gustaffsson Young Researcher Award 2019\, Prof. Freita
 g's contributions to renewable energy are invaluable. Freitag’s commitme
 nt extends beyond academia\, engaging the public through various outreach 
 workshops and exhibitions\, nurturing a broader understanding and adoption
  of renewable energy solutions.\nProf. Freitag's multidisciplinary approac
 h\, combining materials chemistry\, device physics\, and artificial intell
 igence\, is opening new avenues in energy materials research. Her vision o
 f harnessing diffuse light for structured information processing is drivin
 g the development of autonomous\, energy-efficient technologies with far-r
 eaching implications for smart infrastructure and sustainable computing.\n
 \n 
LOCATION:Tseuzier https://plan.epfl.ch/?room==I17%204%20K2 https://epfl.zo
 om.us/j/65378030944
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR